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Learner Reviews & Feedback for Exploratory Data Analysis for Machine Learning by IBM

4.6

stars

2,406 ratings

About the Course

This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. In this course you will realize the importance of good, quality data. You will learn common techniques to retrieve your data, clean it, apply feature engineering, and have it ready for preliminary analysis and hypothesis testing. By the end of this course you should be able to: Retrieve data from multiple data sources: SQL, NoSQL databases, APIs, Cloud Describe and use common feature selection and feature engineering techniques Handle categorical and ordinal features, as well as missing values Use a variety of techniques for detecting and dealing with outliers Articulate why feature scaling is important and use a variety of scaling techniques Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Calculus, Linear Algebra, Probability, and Statistics....

Top reviews

Sep 21, 2021

Excellent, very detailed. However, if the lessons can be expand for hypothesis testing and some of their common test like T test, Anova 1 and 2 way, chi square,..it would be better further.

Apr 23, 2024

The course includes hands-on exercises that allows us to apply the learned EDA techniques to real-world data. This practical approach helps solidify my understanding.

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226 - 250 of 483 Reviews for Exploratory Data Analysis for Machine Learning

By Tayfun K

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Jul 12, 2022

Thank you. It was great

By I P W

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Mar 25, 2025

Very good and worth it

By Alejandro M

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Sep 13, 2024

Very good introduction

By JEEVANESH.S

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Jul 9, 2025

Very Good explanation

By Sharjeel J

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Feb 6, 2024

very Execelent course

By Rocio M L

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Dec 13, 2023

exactly what I needed

By Poornimaa K

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Dec 14, 2024

Interesting to learn

By Sabarigirisan� N

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Dec 13, 2024

Very Valuable Course

By NAVIN K G

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Oct 18, 2024

Good Cource for me .

By Arthur M

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Mar 6, 2024

Ótima a experiência

By RAJIB K

•

May 29, 2023

it's a good course.

By ali p

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Jan 31, 2022

it's a great course

By VEERAMREDDY N K R

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Oct 27, 2021

Good course on EDA

By Volodymyr

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Jul 6, 2021

Very good! Thanks.

By ASTICK K

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Nov 18, 2024

ITS GOOD TO LERAN

By Alfonso S H S

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Jul 22, 2024

Excellent quality

By Sai M R P

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Oct 28, 2022

Very informative

By HAYTOUMI A

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Oct 17, 2021

Very Nice Course

By PENTAKOTA M S S

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Aug 24, 2025

good explaintion

By Caroline A

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Aug 28, 2024

excellent course

By Puja S

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Aug 26, 2022

Really nice one.

By Deepak K S

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Dec 15, 2021

Excellent course

By Soham B

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Nov 13, 2021

Very Informative

By arsalan a

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Oct 23, 2021

Excellent Course

By Giovanny A J T

•

Feb 23, 2025

Excelente curso